Analysis and Synthesis of Data from Electric Vehicle Centralized Charging Management Strategies: Impact on Distribution Systems
2023/07 - 2023/08
Independent Research - Scientific Article
Project Management: Carried out with one-person scrum methodology for the development of data mining, analysis and synthesis tasks, as well as writing the scientific article. - Data and business analysis: Generation, Analysis and Synthesis of electrical distribution databases, considering regulation of centralized charging of electric vehicles governing decentralized charging. The data generation was carried out based on information from the transmission networks, based on statistical analysis of information, statistical information that was also used for data synthesis. - Feasibility, operation and contingency studies: Power flow simulation was carried out on the IEEE 13-bar distribution network. Different percentages of data synthesis were used as data input. The results were compared concluding that for applications that do not require a high degree of specificity with 5% or 7% (with less noise) a good representation of reality is achieved (100%).
Techno-Operational Analysis of Controlled Charging of Electric Vehicles - Interaction between centralized and decentralized Charge Management
2023/07 - 2023/08
Independent Research - Scientific Article
Project Management: In charge of Mr. Eng. Alberto Rios Villacorta and vice minister of energy and mines Doctor in Economics Jaime Luyo Kuong. - Data and business analysis: An analysis and simulation of databases of: profiles of driving patterns for electric vehicles was carried out. Energy management perspectives in the electricity market. Business model perspectives for electric vehicle aggregators: Sale of electric energy, optimization of consumption with the use of photovoltaic systems with independent energy storage and managed by electric vehicles. - Feasibility, operation and contingency studies: Power flow simulation was carried out on the IEEE 14-bar transmission network. It was verified that although decentralized charging management alleviates the impact of electric vehicle charging on the network. For a larger number of Electric Vehicles (3,750 as a scenario) there is a presence of energy not supplied in the power flows. Therefore, the centralized management of electric vehicles is required, acting as regulators of decentralized management systems.
Impact of the Monte Carlo simulation of uncontrolled charging of electric vehicles on distributed generation
2023/03 - 2023/07
Independent Research - Scientific Article
Project Management: In charge of Mr. Eng. Alberto Rios Villacorta and vice minister of energy and mines Doctor in Economics Jaime Luyo Kuong. - Data and business analysis: An analysis and simulation of databases of: profiles of driving patterns for electric vehicles was carried out. Centralized energy management perspectives on your generation planning work. Specifically, distributed generation, through the optimization of photovoltaic systems with energy storage. The load required by electric vehicles was characterized using statistical information and Monte Carlo Simulation analysis - Feasibility, operation and contingency studies: Power flow simulation was carried out on the IEEE 14-bar transmission network. It was verified that the unregulated charging of electric vehicles generates in the network a need for additional charging than what the system can offer for some output scenarios of Monte Carlo Simulation. The contingency evaluation variables "Not Served Power" & "Not Served Energy" were used to quantify the amount of additional energy required by electric vehicles in the scenarios that are required. Two ways of supplying the additional energy required by electric vehicles were tested, through the use of a constant energy source during the day and through solar generation with energy storage in batteries. Both systems were dimensioned achieving an optimal power flow without the presence of Not Served Power, demonstrating the effectiveness of the model used to carry out the work of centralized management for electric vehicles with deregulated charging.
Energy Management Systems for Electric Vehicle Charging in Electric Distribution Networks: Operational Evaluation.
2021/04 - 2023/07
Independent researcher - CONCYTEC/FONDECYT- UNI (Extension of scholarship for doctoral program in sciences with mention in energy)
Project Management: Leadership and execution of academic projects related to the design and evaluation of energy management systems for charging electric vehicles in distribution networks under the advice of Mr. Eng. Alberto Rios Villacorta and vice minister of energy and mines Doctor in Economics Jaime Luyo Kuong. - Data and business analysis: Analysis of statistical information and Monte Carlo simulations for the synthesis and evaluation of electrical distribution data. Exploration of business prospects in the field of energy management. Analysis of distributed generation alternatives to cover the load required by the unregulated load of electric vehicles. - Feasibility, operation and contingency studies: Simulations of power flow in data synthesis of electrical distribution networks to evaluate the operation in systems with electric vehicle charging. *The doctoral thesis in science with a mention in energy was approved with excellence.
Preliminary Project: Energy Management Systems for Electric Vehicle Charging in Electric Distribution Networks: Operational Evaluation.
2018/04 - 2021/03
Exclusive researcher - CONCYTEC/FONDECYT- UNI (Scholarship for doctoral program in sciences with a major in energy)
Project Management: Planning and execution of academic projects related to energy management systems in electrical transmission networks under the advice of Mr. Eng. Alberto Rios Villacorta and Vice Minister of Energy and Mines Doctor of Economics Jaime Luyo Kuong. - Data and business analysis: Analysis and synthesis of electrical distribution data for the evaluation of load management strategies. Exploration of economic and market implications. - Feasibility, operation and contingency studies: Power flow simulations and feasibility studies.
Transmission expansion planning under conditions of maximum electricity generation with renewable energy resources.
2018/03 - 2019/01
Independent researcher - CONCYTEC/FONDECYT- UNI (Extension of scholarship for master's degree program in sciences with mention in energy)
Project Management: In charge of Mr. Eng. Manfred Bedrinhana Arones. - Data and business analysis: Analysis and management of SEIN databases, system failures, transmission projects. Investment perspective in transmission lines to enable greater renewable generation capacity. Perspective of reduction of technical losses in electricity distribution companies. - Feasibility, operation and contingency studies: Operation analysis in the medium and long term, using algebraic modeling. The behavior of the transmission network was modeled using the full AC OPF model. The reduction of transmission line costs was used as objective function (the model analyzed is a MINLP model). Variations of the analyzed power system were used to evaluate N-1 contingencies adjacent to the generation bars with renewable energies. * The master's thesis in science with a mention in energy was approved with distinction.
Preliminary project: Transmission expansion planning under conditions of maximum electricity generation with renewable energy resources.
2016/04 - 2018/03
Exclusive researcher - CONCYTEC/FONDECYT- UNI (Scholarship for Master of Science program with mention in energy)
Project Management: In charge of Mr. Eng. Manfred Bedrinhana Arones. - Data and business analysis: Analysis and management of SEIN databases, system failures, transmission projects. Investment perspective in transmission lines to enable greater renewable generation capacity. Perspective of reduction of technical losses in electricity distribution companies. - Feasibility, operation and contingency studies: Analysis of alternative solutions to optimize power flows. Evaluation of the particle swarm model and the Newton Rhapson method, it was verified that the use of two solvers in series to solve an optimization problem consumes a lot of computing power. The contingency analysis N-1 adjacent to the generation bars with renewable energies was considered. The expansion of renewable generation was considered as a reinforcement in the bars that currently have this technology.
